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Morten Elvang-Gøransson

dblp:60/914 · DBLP profile ↗
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7ranked-venue papers
4as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 3 first-authorSoftware engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorTheory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program verification · 77% Requirements engineering and software design · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program verification
proof assistants
0.011992
A VDM Case Study in mural · IEEE Trans. Software Eng. 1992
Program verification
specification verification
0.011992
A VDM Case Study in mural · IEEE Trans. Software Eng. 1992
Requirements engineering and software design
formal specification
0.011992
A VDM Case Study in mural · IEEE Trans. Software Eng. 1992
Requirements engineering and software design › formal specification
VDM
0.011992
A VDM Case Study in mural · IEEE Trans. Software Eng. 1992

Methods — techniques the papers use, named apart from their topics

theorem proving · 0.0
YearPublicationVenuePosition
1995 A Logic of Argumentation for Reasoning under Uncertainty
abstract
We present the syntax and proof theory of a logic of argumentation, LA. We also outline the development of a category theoretic semantics for LA. LA is the core of a proof theoretic model for reasoning under uncertainty. In this logic, propositions are labeled with a representation of the arguments which support their validity. Arguments may then be aggregated to collect more information about the potential validity of the propositions of interest. We make the notion of aggregation primitive to the logic, and then define strength mappings from sets of arguments to one of a number of possible dictionaries. This provides a uniform framework which incorporates a number of numerical and symbolic techniques for assigning subjective confidences to propositions on the basis of their supporting arguments. These aggregation techniques are also described with examples.
Paul J. Krause, Simon Ambler, Morten Elvang-Gøransson, John Fox 0001
Comput. Intell.3
1995 Argumentative Logics: Reasoning with Classically Inconsistent Information
Morten Elvang-Gøransson, Anthony Hunter
Data Knowl. Eng.1
1993 Acceptability of arguments as 'logical uncertainty'
Morten Elvang-Gøransson, Paul J. Krause, John Fox 0001
ECSQARU1
1993 Dialectic reasoning with inconsistent information
Morten Elvang-Gøransson, Paul J. Krause, John Fox 0001
UAI1
1993 Argumentation as a General Framework for Uncertain Reasoning
John Fox 0001, Paul J. Krause, Morten Elvang-Gøransson
UAI3
1993 A Simple Sequent Calculus for Partial Functions
Morten Elvang-Gøransson, Olaf Owe
Theor. Comput. Sci.1
1992 A VDM Case Study in mural
abstract
The application of an interactive theorem-proving assistant and specification support tool called mural in the specification and verification of a small Vienna development method (VDM) development is described. It is the authors' intention to give a feel for how mural works and of mural's applicability as a tool in specifying and verifying software.>
Bob Fields, Morten Elvang-Gøransson
IEEE Trans. Software Eng.2